Literature DB >> 16359397

Maize association population: a high-resolution platform for quantitative trait locus dissection.

Sherry A Flint-Garcia1, Anne-Céline Thuillet, Jianming Yu, Gael Pressoir, Susan M Romero, Sharon E Mitchell, John Doebley, Stephen Kresovich, Major M Goodman, Edward S Buckler.   

Abstract

Crop improvement and the dissection of complex genetic traits require germplasm diversity. Although this necessary phenotypic variability exists in diverse maize, most research is conducted using a small subset of inbred lines. An association population of 302 lines is now available--a valuable research tool that captures a large proportion of the alleles in cultivated maize. Provided that appropriate statistical models correcting for population structure are included, this tool can be used in association analyses to provide high-resolution evaluation of multiple alleles. This study describes the population structure of the 302 lines, and investigates the relationship between population structure and various measures of phenotypic and breeding value. On average, our estimates of population structure account for 9.3% of phenotypic variation, roughly equivalent to a major quantitative trait locus (QTL), with a high of 35%. Inclusion of population structure in association models is critical to meaningful analyses. This new association population has the potential to identify QTL with small effects, which will aid in dissecting complex traits and in planning future projects to exploit the rich diversity present in maize.

Entities:  

Mesh:

Year:  2005        PMID: 16359397     DOI: 10.1111/j.1365-313X.2005.02591.x

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  290 in total

1.  The relationship between parental genetic or phenotypic divergence and progeny variation in the maize nested association mapping population.

Authors:  H-Y Hung; C Browne; K Guill; N Coles; M Eller; A Garcia; N Lepak; S Melia-Hancock; M Oropeza-Rosas; S Salvo; N Upadyayula; E S Buckler; S Flint-Garcia; M D McMullen; T R Rocheford; J B Holland
Journal:  Heredity (Edinb)       Date:  2011-10-26       Impact factor: 3.821

2.  Genetic diversity and population structure of a diverse set of rice germplasm for association mapping.

Authors:  Liang Jin; Yan Lu; Peng Xiao; Mei Sun; Harold Corke; Jinsong Bao
Journal:  Theor Appl Genet       Date:  2010-04-04       Impact factor: 5.699

3.  Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection.

Authors:  Xiaohong Yang; Jianbing Yan; Trushar Shah; Marilyn L Warburton; Qing Li; Lin Li; Yufeng Gao; Yuchao Chai; Zhiyuan Fu; Yi Zhou; Shutu Xu; Guanghong Bai; Yijiang Meng; Yanping Zheng; Jiansheng Li
Journal:  Theor Appl Genet       Date:  2010-03-27       Impact factor: 5.699

4.  Genome-wide association study of leaf architecture in the maize nested association mapping population.

Authors:  Feng Tian; Peter J Bradbury; Patrick J Brown; Hsiaoyi Hung; Qi Sun; Sherry Flint-Garcia; Torbert R Rocheford; Michael D McMullen; James B Holland; Edward S Buckler
Journal:  Nat Genet       Date:  2011-01-09       Impact factor: 38.330

5.  The genetic basis of flecking and its relationship to disease resistance in the IBM maize mapping population.

Authors:  Vijay Vontimitta; Bode A Olukolu; Bryan W Penning; Gurmukh Johal; P J Balint-Kurti
Journal:  Theor Appl Genet       Date:  2015-08-04       Impact factor: 5.699

6.  A remorin gene is implicated in quantitative disease resistance in maize.

Authors:  Tiffany M Jamann; Xingyu Luo; Laura Morales; Judith M Kolkman; Chia-Lin Chung; Rebecca J Nelson
Journal:  Theor Appl Genet       Date:  2016-02-05       Impact factor: 5.699

7.  Power to detect higher-order epistatic interactions in a metabolic pathway using a new mapping strategy.

Authors:  Benjamin Stich; Jianming Yu; Albrecht E Melchinger; Hans-Peter Piepho; H Friedrich Utz; Hans P Maurer; Edward S Buckler
Journal:  Genetics       Date:  2006-12-28       Impact factor: 4.562

8.  A general population-genetic model for the production by population structure of spurious genotype-phenotype associations in discrete, admixed or spatially distributed populations.

Authors:  Noah A Rosenberg; Magnus Nordborg
Journal:  Genetics       Date:  2006-04-02       Impact factor: 4.562

9.  Precise mapping of quantitative trait loci for resistance to southern leaf blight, caused by Cochliobolus heterostrophus race O, and flowering time using advanced intercross maize lines.

Authors:  P J Balint-Kurti; J C Zwonitzer; R J Wisser; M L Carson; M A Oropeza-Rosas; J B Holland; S J Szalma
Journal:  Genetics       Date:  2007-03-04       Impact factor: 4.562

10.  Natural genetic variation in lycopene epsilon cyclase tapped for maize biofortification.

Authors:  Carlos E Harjes; Torbert R Rocheford; Ling Bai; Thomas P Brutnell; Catherine Bermudez Kandianis; Stephen G Sowinski; Ann E Stapleton; Ratnakar Vallabhaneni; Mark Williams; Eleanore T Wurtzel; Jianbing Yan; Edward S Buckler
Journal:  Science       Date:  2008-01-18       Impact factor: 47.728

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.